NEOTEC PROJECT
R&D APPLIED TO
DIGITAL PATTERN MAKING
Twin Pattern Fit is an R&D project funded by CDTI through the NEOTEC program.
Its development combines artificial intelligence, digital pattern making, and 3D twins to optimize validation, grading, and production file preparation in the textile industry.
Applied AI and vision
Intelligent pattern recognition and segmentation.
3D digital twins
Realistic garment validation before production.
Continuous development
Proprietary technology evolving and tested with manufacturers.
PROJECT FUNDED BY CDTI – NEOTEC PROGRAM
The “TWIN PATTERN FIT” project was funded by the Centre for the Development of Industrial Technology and Innovation (CDTI) through the NEOTEC Program. Its goal is to develop a technology solution based on artificial intelligence and 3D digital twins to optimize and automate processes in the textile industry.
CDTI Innovation highlights Twin Pattern Fit
CDTI Innovation has published a story about DIMTECH 3D and the Twin Pattern Fit project, highlighting the development of a technology solution based on artificial intelligence, digital patternmaking, and 3D digital twins for the textile industry.
The publication highlights the use of AI for pattern generation and validation, automatic size grading, and production-file preparation, showing the potential of this technology to optimise processes, reduce errors, and accelerate the arrival of garments on the market.
This recognition reinforces DIMTECH 3D’s role as an innovation partner in the textile sector and its commitment to a more digital, efficient, and sustainable industry.
Institutional recognition
The CDTI Innovation publication recognises the project’s innovative character and its contribution to the progress of the textile sector.
Featured technology
It highlights the application of artificial intelligence, digital patternmaking, 3D twins, and automatic grading in an integrated workflow.
Manufacturing impact
The project is presented as a solution with strong potential to optimise production, improve precision, and accelerate garment industrialisation.